This year’s summit will focus on how government organizations are putting AI to work across operations, services, and infrastructure. Sessions will highlight practical use cases such as intelligent assistants that reduce manual effort, advanced approaches to cyber defense, evolving data strategies, and the frameworks agencies are using to manage risk and accountability as AI becomes more embedded in mission systems.
As artificial intelligence becomes central to mission success, government agencies are charting distinctive strategies to embed AI across domains from analytics to service delivery. This keynote will explore how federal technology leadership is aligning policy, investment, and operational design to accelerate AI innovation responsibly and securely across public sector missions, providing a clear line of sight into where AI is delivering measurable impact.
AI’s promise depends on the strength of the infrastructure that supports it. From high-performance computing (including GPU clusters) to hybrid cloud architectures and edge ecosystems, this session will examine how government agencies are building scalable and secure foundations for mission-critical AI workloads. Panelists will discuss data governance, interoperability, performance tuning, and overcoming implementation barriers that traditionally slow enterprise AI deployments. Participants will leave with actionable strategies for moving beyond experimentation to production-ready AI infrastructure capable of sustaining next-generation applications.
Panelists will explore how agencies are modernizing workforce pipelines through new hiring authorities, CAIO stand-ups, digital service expansions, and public-private talent exchanges, while investing in reskilling and cross-functional collaboration. The discussion will focus on how federal leaders are aligning workforce transformation with executive branch priorities around responsible AI, national competitiveness, and mission delivery—while competing directly with the private sector for scarce technical expertise. Attendees will gain insight into how people, policy, and platforms must evolve together to operationalize AI at scale.
Learn firsthand from industry partners and government technologists about AI deployments that have crossed the threshold from pilot to wide adoption. From infrastructure scale-ups to user adoption and performance measurement, this session will highlight practical implementation stories, challenges encountered, and lessons learned from large-scale AI rollouts across public sector agencies.
Panelists will discuss how these emerging capabilities are being applied to intelligence analysis, regulatory enforcement, logistics optimization, and mission planning while aligning with executive branch priorities around safety, accountability, and human oversight. The conversation will examine what “responsible autonomy” looks like in practice, including governance models, risk management approaches, and the role of humans in supervising AI systems entrusted with real mission decisions. Attendees will leave with a clearer view of how advanced reasoning AI is reshaping federal operations—and what it takes to deploy it at scale.
Panelists will explore how AI is being deployed for real-time threat detection, autonomous response, and behavioral anomaly analysis while operationalizing secure AI governance, model risk management, and human-in-the-loop oversight. Grounded in current administration priorities, including zero trust mandates and federal AI risk frameworks, the discussion will focus on how agencies are balancing resilience, accountability, and mission continuity in an era of persistent cyber conflict. Attendees will gain insight into how adaptive, AI-enabled cybersecurity strategies are becoming foundational to national defense and public-sector trust.